Prof. P. N Suganthan
Nanyang Technological University
Keynote Day: 19 December 2020
Bio: Ponnuthurai Nagaratnam Suganthan received the B. A degree, Postgraduate Certificate and M. A degree in Electrical and Information Engineering from the University of Cambridge, UK in 1990, 1992 and 1994, respectively.After completing his PhD research in 1995, he served as a pre-doctoral Research Assistant in the Dept. of Electrical Engineering, University of Sydney in 1995–96 and a lecturer in the Dept. of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He moved to Singapore in 1999. He was an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013-2018) and an associate editor of the IEEE Trans on Cybernetics (2012-2018). He is an associate editor of Applied Soft Computing (Elsevier, 2018-), Neurocomputing (Elsevier, 2018-), IEEE Trans on Evolutionary Computation (2005-), Information Sciences (Elsevier, 2009-), Pattern Recognition(Elsevier, 2001-) and Int. J. of Swarm Intelligence Research (2009-) Journals. He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010-), an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the "IEEE Trans. on Evolutionary Computation outstanding paper award" in 2012. His former PhD student, Dr Jane Jing Liang, won the IEEE CIS Outstanding PhD dissertation award, in 2014. IEEE CIS Singapore Chapter won the best chapter award in Singapore in 2014 for its achievements in 2013 under his leadership. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited (Googlescholar Citations:~39k). His SCI indexed publications attracted over 1000 SCI citations in a calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2018 in computer science. He served as the General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018-2020. He has been a member of the IEEE (S'91, M'92, SM'00, Fellow’15) since 1991 and an elected AdCommember of the IEEE Computational Intelligence Society (CIS) in 2014-2016.
Address: S2-B2a-21, EEE, NTU, Singapore, 639798 Tel: 65-67905404 Fax: 65-67933318
Prof. Shigang Yue
University of Lincoln
Title: Dealing with motion in the dynamic visual world – from insects to neuromorphic sensors
Keynote Day:19 December 2020
Abstract: Animals, as small as insects, have amazing ability in coping with the dynamic visual world. This ability has not been replicated so far to human-made intelligent moving machines such as robots or intelligent vehicles. In the last decades, different types of visual neurons in insects have been identified with surprising preferences tuned to specific visual cues. By modelling bio-plausible visual neurons and their pre-synaptic networks, we can not only further our understanding of how animals visual systems work, but also step forward in developing new vision systems for future robots and vehicles. In this talk, I will introduce the bio-inspired motion sensitive neural models developed in my group, and also talk about their applications in robotics and autonomous vehicles.
Bio: Shigang Yue is a Professor in the School of Computer Science , University of Lincoln, United Kingdom. He is the founding director of Computational Intelligence Lab (CIL) and the deputy director of Lincoln Centre for Autonomous Systems (L-CAS). He received his PhD degrees from Beijing University of Technology (BJUT) in 1996, worked in BJUT as a Lecturer (1996-1998) and an Associate Professor (1998-1999), also in City University of Hong Kong (MEEM) as a Senior Research Assistant (1998-1999). He was an Alexander von Humboldt Research Fellow (2000, 2001) working with Prof. Henrich in the Faculty of Computer Science, University of Kaiserslautern, Germany. Before joining the University of Lincoln as a Senior Lecturer (2007) and promoted to Professor (2012), he held positions in the University of Cambridge (2006-2007), University of Newcastle (2003-2006) and the University College London (UCL) (2002-2003) respectively.
His research interests are mainly within the field of bio-inspired artificial intelligence, computer vision, robotics, brains, and neuroscience. He is particularly interested in biological plausible visual neural systems and its applications in vehicles, interactive systems, UAVs and ground robots. He has published about 200 papers in academic journals and conferences, many of them are in top tier journals. He has chaired several international conferences and has sit in the editorial board of several international journals.
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